evidencegaps
Primary study · included by 1 review

Tooth Type Enhanced Transformer for Children Caries Diagnosis on Dental Panoramic Radiographs.

Zhou 2023 · Zhou Xiaojie, Yu Guoxia, Yin Qiyue, et al. · Diagnostics (Basel, Switzerland) · 2023

Included by

Artificial intelligence for binary dental caries diagnosis using intraoral images and dental radiographs: a systematic review and meta-analysis.
Non-Cochrane · DTA · 2026 · cited as Zhou 2023 · Supplementary Table S1; Fig. 2
Outcome this study informsPooled effectEvidenceCertainty
Pooled sensitivity
AI (deep learning) models for binary caries classification vs Reference standard (expert examiners or clinical/diagnostic reference)
Sensitivity 0.86 [0.82, 0.89]13 studiesGRADE not reported

1 including review in total.